Additional file 2 of HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data

Beccuti, Marco; Genuardi, Elisa; Romano, Greta; Monitillo, Luigia; Barbero, Daniela; Boccadoro, Mario; Ladetto, Marco; Calogero, Raffaele; Ferrero, Simone; Cordero, Francesca

doi:10.6084/m9.figshare.c.3938158_D2.v1

12859_2017_1923_MOESM2_ESM.pdf (885.53 kB)

Additional file 2 of HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data

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posted on 2017-11-23, 05:00 authored by Marco Beccuti, Elisa Genuardi, Greta Romano, Luigia Monitillo, Daniela Barbero, Mario Boccadoro, Marco Ladetto, Raffaele Calogero, Simone Ferrero, Francesca Cordero

Figure S1. Whole methodology. The whole experimental and computational methodology presented in this paper. (PDF 885 kb)

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Clonality assessment Minimal residual disease monitoring Hash-based algorithm

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Additional file 2 of HashClone: a new tool to quantify the minimal residual disease in B-cell lymphoma from deep sequencing data

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